Real-time data driven monitoring and optimization method for IoT-based sensible production process

Typical challenges that manufacturing enterprises are facing now are compounded by lack of timely, accurate, and consistent information of manufacturing resources of shop floor. Recent developments in wireless sensors, communication and information network technologies have created a new era of the internet of things (IoT). In this paper, an overall architecture of the IoT-enabled manufacturing execution system is presented to provide a new paradigm by extending the techniques of IoT to manufacturing field. Under this architecture, the manufacturing things such as operators, machines, pallets, materials etc. can be embedded with sensors to interact with each other. And the real-time data driven monitoring and optimization for IoT-based sensible production process can be achieved to improve shop-floor productivity and quality, reduce the wastes of manufacturing resources, cut the costs in manufacturing logistics, reduce the risk and improve the efficiency in cross-border customs logistics and online supervision, and improve the responsiveness to production changes.